基于遗传算法的虚拟企业风险管理VIP免费

辽宁科技大学本科生毕业设计(论文)第I页基于遗传算法的虚拟企业风险管理摘要遗传算法是一种基于概率意义的随机搜索算法,它提供了一种求解复杂系统优化问题的通用框架，虚拟企业是一种新的生产模式，它以动态联盟为基础的敏捷制造,并创造性地概括出一种称为“虚拟组织”的新型企业模式。作为一种能够高质量、低成本、快速响应市场需求的解决方案,虚拟企业正越来越多地引起我国企业界的关注。但是,虚拟企业在帮助企业获得反应灵活性的同时,也不可避免地带来了新的风险因素。本文根据条件创建了虚拟企业的风险管理模型，并通过遗传算法，对模型进行分析，使企业的资源得到最优的整合。文章利用遗传算法的基本原理，构造了问题的解的初代种群，经过选择，交叉和变异产生新的最优解集种群。实验结果表明，遗传算法对风险管理模型求解的效果是非常理想的。关键词：遗传算法;虚拟企业;风险管理辽宁科技大学本科生毕业设计(论文)第II页virtualenterpriseforriskmanagementBasedongeneticalgorithm首字母大写Abstractgeneticalgorithmisasignificantprobabilityofrandomsearchalgorithm,whichprovidesacomplexsystemoptimizationproblemforthecommonframework.virtualenterprisesisanewmodeofproduction,whichisbasedonadynamicallianceofagilemanufacturing,andcreativelysummedupasakindof"virtualorganization"ofnewbusinessmodels.Asacanofhigh-quality,lowcost,rapidresponsetomarketdemandsolutions,virtualenterprisesareattractingmoreandmoreattentiontomybusiness.However,virtualenterpriseinhelpingenterpriseswillbeabletorespondflexibility,butalsoinevitablybringanewelementofrisk.Thisarticlecreatestheriskofvirtualenterprisemodelbasedontheconditionsandthroughgeneticalgorithms,themodelanalysisenterpriseresourcestobeoptimalintegration.Usingthebasicprinciplesofgeneticalgorithms,thestructuralproblemsofthebeginningofthepopulation,afterselection,crossoverandanewvariantoftheoptimalsolutionsetpopulation.ExperimentalresultsshowthatgeneticalgorithmforriskmanagingmodelfortheeffectisveryKeywords：geneticalgorithm;virtualenterprise;riskmanagement辽宁科技大学本科生毕业设计(论文)第III页目录摘要··································IABSTRACT································II1绪论··································11.1选题背景·······························11.11虚拟企业······························11.12虚拟企业的发展···························11.13虚拟企业产生的原因·························11.14虚拟企业的特点···························21.2国内外关于虚拟企业风险管理的方法···················31.21虚拟企业存在的经济学解释······················41.22虚拟企业风险管理方法的要点·····················41.3遗传算法·······························51.31遗传算法的产生···························51.32遗传算法的生物学背景························51.33基因（GENE）····························61.34复制（REPEODUCTION）························71.35搜索空间（SEARCHSPACE）······················71.36遗传算法的步骤···························71.37遗传算法的特点···························71.38遗传算法在国内外研究现状···········...